000 02435nam a22004338i 4500
005 20250919090116.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 170308s2015||||enk o ||1 0|eng|d
020 _a9781316182635 (ebook)
020 _z9781107102378 (hardback)
020 _z9781107500075 (paperback)
035 _a(UkCbUP)CR9781316182635
039 9 _y03-08-2017
_zhafiz
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHM533.5
_b.T95 2015
082 0 0 _a302.34072/7
_223
245 0 0 _aTwitter: A Digital Socioscope /
_cedited by Yelena Mejova, Ingmar Weber, Michael W. Macy.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (184 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 07 Mar 2017).
520 _aHow can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.
650 0 _aTwitter
650 0 _aDyadic data analysis (Social sciences)
650 0 _aWebometrics
700 1 _aMejova, Yelena,
_eeditor.
700 1 _aWeber, Ingmar,
_eeditor.
700 1 _aMacy, Michael W.,
_eeditor.
776 0 8 _iPrint version:
_z9781107102378
856 4 0 _u
_uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781316182635
907 _a.b16441254
_b2022-11-01
_c2019-11-12
942 _n0
914 _avtls003618393
998 _anone
_b2017-08-03
_cm
_da
_feng
_genk
_y0
_z.b16441254
999 _c617341
_d617341